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The impact of big data and big data analytics in external auditing procedures

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorMajor, Maria João
dc.contributor.authorSantos, Joana Pedrosa
dc.date.accessioned2019-06-21T11:45:20Z
dc.date.available2019-06-21T11:45:20Z
dc.date.issued2019-01-25
dc.description.abstractCompanies that can effectively utilize big data, on average, have a 5 to 6 per cent higher gain in productivity (Brynjolfsson et al., 2011). This fact is not going unnoticed by the auditor’s community that has been implementing data analytic tools in their projects. The aim of this working project, written in the form of a direct research on EY assurance department, is to understand this impact on auditing procedures. Facilitators and obstacles are the factors that determine how big data and data analytics usage will evolve in audit practice, with leadership commitment identified as the most significant facilitator and aversion to change as potentially the greatest obstacle.pt_PT
dc.identifier.tid202226654pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/73210
dc.language.isoengpt_PT
dc.subjectBig datapt_PT
dc.subjectData analyticspt_PT
dc.subjectImpactpt_PT
dc.subjectAuditing procedurespt_PT
dc.subjectLeadershippt_PT
dc.titleThe impact of big data and big data analytics in external auditing procedurespt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economicspt_PT

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